Power consumption analysis of digital filters with sparse coefficients

Digital finite impulse response filters (FIR) are commonly used in various applications of signal processing and communication. Classical FIR filter design emphasizes on developing numerical methods, which can achieve ideal solutions under some criterion. However, the implementation of FIR filters m...

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Main Author: Tan, Fu Loong.
Other Authors: Yu Yajun
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/53277
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-532772023-07-07T15:50:32Z Power consumption analysis of digital filters with sparse coefficients Tan, Fu Loong. Yu Yajun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Digital finite impulse response filters (FIR) are commonly used in various applications of signal processing and communication. Classical FIR filter design emphasizes on developing numerical methods, which can achieve ideal solutions under some criterion. However, the implementation of FIR filters may require a large number of multipliers, especially when design specifications are extremely stringent. One of potential ways to efficiently realize FIR filters is to reduce the number of arithmetic operations, which can be taken into account during the stage of designing sparsity filters. In sparse filter designs, the multipliers corresponding to the zero-valued coefficients can be omitted, which consequently reduce the complexity of implementation. However, this would inevitable result in the filter order to be increased. In this project, the power consumptions of the sparse and non-sparse filters are investigated to demonstrate under what condition the sparse filter may achieved in power savings. Bachelor of Engineering 2013-05-31T03:33:40Z 2013-05-31T03:33:40Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53277 en Nanyang Technological University 76 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Tan, Fu Loong.
Power consumption analysis of digital filters with sparse coefficients
description Digital finite impulse response filters (FIR) are commonly used in various applications of signal processing and communication. Classical FIR filter design emphasizes on developing numerical methods, which can achieve ideal solutions under some criterion. However, the implementation of FIR filters may require a large number of multipliers, especially when design specifications are extremely stringent. One of potential ways to efficiently realize FIR filters is to reduce the number of arithmetic operations, which can be taken into account during the stage of designing sparsity filters. In sparse filter designs, the multipliers corresponding to the zero-valued coefficients can be omitted, which consequently reduce the complexity of implementation. However, this would inevitable result in the filter order to be increased. In this project, the power consumptions of the sparse and non-sparse filters are investigated to demonstrate under what condition the sparse filter may achieved in power savings.
author2 Yu Yajun
author_facet Yu Yajun
Tan, Fu Loong.
format Final Year Project
author Tan, Fu Loong.
author_sort Tan, Fu Loong.
title Power consumption analysis of digital filters with sparse coefficients
title_short Power consumption analysis of digital filters with sparse coefficients
title_full Power consumption analysis of digital filters with sparse coefficients
title_fullStr Power consumption analysis of digital filters with sparse coefficients
title_full_unstemmed Power consumption analysis of digital filters with sparse coefficients
title_sort power consumption analysis of digital filters with sparse coefficients
publishDate 2013
url http://hdl.handle.net/10356/53277
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